Related Experiment Video
Updated: Jul 4, 2025

06:18
Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
Published on: April 5, 2024
1.0K
Developing a Virtual Reality Simulation System for Preoperative Planning of Robotic-Assisted Thoracic Surgery
Hideki Ujiie1, Ryohei Chiba1, Aogu Yamaguchi2
1Department of Thoracic Surgery, Hokkaido University Hospital, Sapporo 060-8648, Hokkaido, Japan.
Journal of Clinical Medicine
|January 26, 2024
Summary
Virtual reality (VR) surgical navigation systems enhance robotic-assisted thoracic surgery (RATS) by improving preoperative planning and intraoperative guidance. This technology offers surgeons better visualization and interaction with patient anatomy for safer, more accurate lung cancer resections.
Area of Science:
- Thoracic surgery
- Medical simulation
- Virtual reality applications
Background:
- Robotic-assisted thoracic surgery (RATS) is standard for lung cancer but presents challenges in visualization and tactile feedback.
- Minimally invasive approaches in RATS require enhanced navigation through complex pulmonary anatomy.
- A virtual reality (VR) surgical navigation system was developed to address these challenges.
Purpose of the Study:
- To enhance preoperative familiarization with patient-specific anatomy for RATS.
- To improve preoperative simulation and intraoperative navigation in thoracic procedures.
- To optimize surgical planning and execution in lung cancer treatment.
Main Methods:
- Integration of 3D CT scan data into Perspectus VR Education software.
- Utilization of head-mounted displays (HMDs) for interactive 3D reconstruction of pulmonary structures.
- Real-time intraoperative guidance using 3D images displayed via Tile-Pro™ multi-display during RATS.
Main Results:
- Precise visualization of pulmonary structures and lesion relationships was achieved.
- Enhanced surgical safety and accuracy were demonstrated.
- True 3D interaction with patient data facilitated effective surgical planning.
Conclusions:
- VR simulation with HMDs provides a novel method for developing robotic surgical skills.
- Integration with routine imaging improves preoperative planning, safety, and accuracy in anatomical resections.
- This technology aids lesion identification in RATS, optimizing surgical outcomes.

